I found the answer:
in line 119 of jamovi/client/main/ribbon/analysetab.js
// this.buttons.push(button);
Search found 21 matches
- Thu Oct 27, 2022 6:26 pm
- Forum: jamovi development
- Topic: Hide module button
- Replies: 3
- Views: 8671
- Thu Oct 27, 2022 11:41 am
- Forum: jamovi development
- Topic: Hide module button
- Replies: 3
- Views: 8671
Hide module button
Hi, Is there an easy way to hide the module button from the docker version? Perhaps a line of code I have to comment to avoid showing the button in the ribbon I want to restrict students to install modules. Since the container is run by root, even if I write protect /root/.jamovi/modules the modules...
- Tue Dec 07, 2021 3:34 pm
- Forum: General
- Topic: Spanish translation
- Replies: 7
- Views: 15307
Re: Spanish translation
I can also help if needed.
Victor
Victor
- Fri Oct 23, 2020 3:21 pm
- Forum: Help
- Topic: cloud.jamovi in iPad
- Replies: 14
- Views: 7616
cloud.jamovi in iPad
Hi, Some students that use from iPad on an online (dockerized) version of jamovi, clone of cloud.jamovi.org, have complained that cannot change the name of variables in Data management. I have tested that problem with 3 browsers and seems specific to iOS/iPad, because it works on Android. If I try t...
- Tue Mar 31, 2020 10:22 am
- Forum: General
- Topic: Request: coefficient of variation
- Replies: 0
- Views: 8089
Request: coefficient of variation
Hi, A request for future upgrades of Jamovi: please add under the Dispersion statistics of Descriptives the Coefficient of Variation (as percentaje): cv=sd/mean*100 Other request would be to calculate an arbitrary quantile. Current options are quartiles or up to deciles, but cannot calculate the 5 a...
- Wed Nov 20, 2019 7:04 am
- Forum: Statistics
- Topic: Levene's test of equality of variances
- Replies: 2
- Views: 12478
Re: Levene's test of equality of variances
Hi, I know that Levene's test is less sensitive than Bartlett's test to deviations of normality. However, it would be useful to have both tests performed. I have a data scenario in which doubling the variance in one group vs the other, Levene's p = 0.36 while Bartlett or the result of var.test (2 gr...
- Fri Jan 18, 2019 4:44 pm
- Forum: Off-topic
- Topic: possible to run as docker container?
- Replies: 8
- Views: 44878
Re: possible to run as docker container?
Hi Jonathon, I managed to run it again. I had to add some python libraries and the environment to make it work. The code in /usr/lib/jamovi/bin/env.conf is needed, perhaps not all the lines. Here is the Dockerfile: ####### FROM ubuntu:16.04 RUN apt-get update # enable install from PPA RUN apt-get in...
- Fri Jan 18, 2019 9:01 am
- Forum: Off-topic
- Topic: possible to run as docker container?
- Replies: 8
- Views: 44878
Re: possible to run as docker container?
Hi,
This Dockerfile worked a while ago, but I have tried it now and build works, but run stops with a python error message from server.py
ImportError: No module named 'tornado'
I have added tornado with pip3, but then other ImportErrors appear
The docker version is useful
This Dockerfile worked a while ago, but I have tried it now and build works, but run stops with a python error message from server.py
ImportError: No module named 'tornado'
I have added tornado with pip3, but then other ImportErrors appear
The docker version is useful
- Fri Nov 23, 2018 6:01 am
- Forum: Help
- Topic: qqplot in ttest
- Replies: 3
- Views: 3066
Re: qqplot in ttest
Hi,
I noticed the problem analyzing the variable glyhb from the diabetes dataset from here:
http://biostat.mc.vanderbilt.edu/wiki/Main/DataSets
Victor
I noticed the problem analyzing the variable glyhb from the diabetes dataset from here:
http://biostat.mc.vanderbilt.edu/wiki/Main/DataSets
Victor
- Thu Nov 22, 2018 8:10 am
- Forum: Help
- Topic: qqplot in ttest
- Replies: 3
- Views: 3066
qqplot in ttest
Hi, When performing a ttest, the qq plot sometimes only shows the diagonal line, with no points. I think I found the problem is when there are missing values in both groups being compared. The code in ttestISClass should remove NAs in line pieces <- lapply(pieces, function(y) y - mean(y)) i.e. piece...